Package: mRMRe
Type: Package
Title: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Version: 2.1.1
Date: 2021-05-25
Authors@R: c(
  person('Nicolas', 'De Jay', role=c('aut')), 
  person('Simon', 'Papillon-Cavanagh', role=c('aut')), 
  person('Catharina', 'Olsen', role=c('aut')),
  person('Gianluca', 'Bontempi', role=c('aut')), 
  person('Bo', 'Li', role=c('aut')),
  person('Chirstopher', 'Eeles', role=c('ctb')),
  person('Benjamin', 'Haibe-Kains', email='benjamin.haibe.kains@utoronto.ca', 
    role=c('aut', 'cre'))
  )
Description: Computes mutual information matrices from continuous, categorical 
  and survival variables, as well as feature selection with minimum redundancy, 
  maximum relevance (mRMR) and a new ensemble mRMR technique. Published in
  De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.
License: Artistic-2.0
Depends: R (>= 3.5), survival, igraph, methods
URL: https://www.pmgenomics.ca/bhklab/
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-05-26 15:16:54 UTC; ceeles
Author: Nicolas De Jay [aut],
  Simon Papillon-Cavanagh [aut],
  Catharina Olsen [aut],
  Gianluca Bontempi [aut],
  Bo Li [aut],
  Chirstopher Eeles [ctb],
  Benjamin Haibe-Kains [aut, cre]
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Repository: CRAN
Date/Publication: 2021-05-27 08:20:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2021-05-27 09:58:28 UTC; windows
Archs: x64
